# Cohere on Hugging Face Inference Providers 🔥

DevFeed: [Cohere on Hugging Face Inference Providers 🔥](<https://devfeed.tech/articles/cohere-on-hugging-face-inference-providers-7278.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/inference-providers-cohere>)

Author: Vaibhav Srivastav; ben burtenshaw; merve; Célina Hanouti; Alejandro Rodriguez; Julien Chaumond; Simon Brandeis

Published: 2025-04-16T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [cohere](<https://devfeed.tech/topics/cohere.md>), [inference-providers](<https://devfeed.tech/topics/inference-providers.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cohere](<https://devfeed.tech/tags/cohere.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-providers](<https://devfeed.tech/tags/inference-providers.md>), [llms](<https://devfeed.tech/tags/llms.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open](<https://devfeed.tech/tags/open.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [rag](<https://devfeed.tech/tags/rag.md>), [ranking](<https://devfeed.tech/tags/ranking.md>)

## AI overview

Cohere is now supported as an Inference Provider on the Hugging Face Hub, allowing serverless inference for a selection of Cohere and Cohere Labs models. The article highlights models for enterprise AI, multilingual applications, retrieval-augmented generation, tool use, low-cost or low-latency workloads, and vision-language tasks.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.